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Cloud Columnar Cache

As explained in Architecting an Apache Iceberg Lakehouse

A cloud columnar cache is a local disk-based cache that stores frequently accessed cloud data blocks in compressed columnar form.

A cloud columnar cache is a local, disk-based cache on each executor node. It stores frequently accessed cloud data blocks in compressed columnar form, allowing subsequent queries to read locally instead of repeatedly fetching data from remote object storage. section 8.3.2 section 8.3.4

The cache improves federated-query operations by:

  • Reducing cloud storage reads and query latency for repeatedly accessed data. section 8.3.4
  • Lowering egress costs by avoiding repeated downloads of large files. section 8.3.4
  • Managing stored data automatically with a Least Recently Used policy. section 8.3.4
Figure 8.7 Dremio can manage multiple coordinators to parse and plan query execution, and then distribute execution among multiple executors available to those coordinators, enabling workload scalability and availability.

The cache resides on executor nodes within an architecture that distributes planned query execution across multiple coordinators and executors. section 8.3.2

How Architecting an Apache Iceberg Lakehouse covers it

How deep it goes
Explains executor-local storage, compressed columnar blocks, repeated-query behavior, egress effects, and automatic LRU eviction.
Examples
Uses Amazon S3 and Azure Data Lake Storage as deployment examples and compressed data blocks as the cached artifact.
What it assumes
Assumes familiarity with distributed query execution, executor nodes, and cloud object storage.
What you can do after
Evaluate how local caching can reduce remote reads, latency, and egress costs for recurring cloud queries.
How it connects
Connects query execution, executor nodes, cloud object storage, latency, and egress costs.

This explainer was generated by Manning's knowledge graph from the text of Architecting an Apache Iceberg Lakehouse. The section links point to the parts of the book it draws on.